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segmentation algorithm » selection algorithm (Expand Search)
bayesian optimization » based optimization (Expand Search)
feature segmentation » feature representation (Expand Search), feature selection (Expand Search), image segmentation (Expand Search)
image bayesian » disease bayesian (Expand Search)
a feature » _ feature (Expand Search), _ features (Expand Search), each feature (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
segmentation algorithm » selection algorithm (Expand Search)
bayesian optimization » based optimization (Expand Search)
feature segmentation » feature representation (Expand Search), feature selection (Expand Search), image segmentation (Expand Search)
image bayesian » disease bayesian (Expand Search)
a feature » _ feature (Expand Search), _ features (Expand Search), each feature (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
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Algorithm framework of this paper.
Published 2024“…This paper proposes a network model based on the combination of U-net and DenseNet to solve the problems of class imbalance in multi-modal brain tumor image segmentation and the loss of effective information features caused by the integration of features in the traditional U-net network. …”
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Table_1_Fusion of fruit image processing and deep learning: a study on identification of citrus ripeness based on R-LBP algorithm and YOLO-CIT model.docx
Published 2024“…The R-LBP algorithm, an extension of the LBP algorithm, enhances the texture features of citrus fruits at distinct ripeness stages by calculating the coefficient of variation in grayscale values of pixels within a certain range in different directions around the target pixel. …”
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